Tomoko Fujii

2.6k citations
103 papers · 2.0k indexed · h-index 22

Tomoko Fujii

95 papers receiving 1.9k citations

Peers

Tomoko Fujii
Comparison fields: 5 of 135
  • Pharmacology 448
  • Medical Laboratory Technology 37
  • Occupational Therapy 76
  • Rheumatology 223
  • Cellular and Molecular Neuroscience 227
Replace Noriko Yoshimura with:
Noriko Yoshimura Japan
Manu V. Chakravarthy United States
Jelle Vehof Netherlands
M. Yusoff Dawood United States
Christine A. Hughes United States
Michael Guarnieri United States
J. S. Dixon United Kingdom
Joyce S. Tenover United States
Daniela Caporossi Italy
Giulia Piccinini Italy
Tomoko Fujii relative to Noriko Yoshimura Japan Noriko Yoshimura's profile →
Citations per field
00.5×7.4×
Noriko Yoshimura · 1×
Citations per year

Countries citing papers authored by Tomoko Fujii

Since Specialization
Citations

This map shows the geographic impact of Tomoko Fujii's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomoko Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Fujii more than expected).

Fields of papers citing papers by Tomoko Fujii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoko Fujii. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomoko Fujii. The network helps show where Tomoko Fujii may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tomoko Fujii, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomoko Fujii Line = papers co-authored together Tomoko Fujii links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20229
3 20227
4 20227
5 202122
6 202111
7 20208
8
Survey on chronic disabling low back pain among care workers at nursing care facilities: a multicenter collaborative cross-sectional study
20191
9 201820
10 201820
11 20161
12 20155
13 20157
14 201515
15 201321
16 2012118
17 19981
18 19958
19 198837
20 198877

About Tomoko Fujii

Tomoko Fujii is a scholar working on Pharmacology, Medical Laboratory Technology and Orthopedics and Sports Medicine, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (24 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers), Spine and Intervertebral Disc Pathology (9 papers), Workplace Health and Well-being (6 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Pharmacology (448 citations), Medical Laboratory Technology (37 citations) and Occupational Therapy (76 citations). Tomoko Fujii has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ko Matsudaira, Kouji Ogita, Ushio Kikkawa, Yoshitaka Ono, Yasutomi Nishizuka, Koji Igarashi, Hiroyuki Oka, Hiroshi Sakurai, Susumu Izumi and Toshio Nakaki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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